Factors associated with the disbursements of development assistance for health in low-income and middle-income countries, 2002–2017

Datos Bibliográficos

ID21880972
AutoresModhurima Moitra (0000-0001-8238-4906, University of Washington), Ian Cogswell (University of Washington), Emilie Maddison (Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA), Emilie R Maddison (0000-0003-1238-9773, University of Washington), Kyle Simpson (Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA), Kyle E Simpson (University of Washington), Hayley Stutzman (Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA), Hayley N Stutzman (University of Washington), Golsum Tsakalos (University of Washington, autor de correspondencia), Joseph Dieleman (Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA), Joseph L Dieleman (0000-0001-7976-7412, University of Washington), Angela E Micah (0000-0002-0190-1017, University of Washington)
Año2021
Volumen6
Número4
Páginase004858
Fecha de publicación2021-04-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaBMJ Global Health (JOURNAL)
Identificadores de la revistaISSN: 2059-7908 • E-ISSN: 2059-7908
EditorialBMJ (PUBLISHER • GB)
DOI10.1136/bmjgh-2020-004858
PMID33893143
OpenAlexW3154882584
IdiomaEN
Citas recibidas3
Referencias citadas33

INTRODUCTION: In 2017, development assistance for health (DAH) comprised 5.3% of total health spending in low-income countries. Despite the key role DAH plays in global health-spending, little is known about the characteristics of assistance that may be associated with committed assistance that is actually disbursed. In this analysis, we examine associations between these characteristics and disbursement of committed assistance. METHODS: We extracted data from the Creditor Reporting System of the Organization for Economic Co-operation and Development, Institute for Health Metrics and Evaluation, and the WHO National Health Accounts database. Factors examined were off-budget assistance, administrative assistance, publicly sourced assistance and assistance to health systems strengthening. Recipient-country characteristics examined were perceived level of corruption, civil fragility and gross domestic product per capita (GDPpc). We used linear regression methods for panel of data to assess the proportion of committed aid that was disbursed for a given country-year, for each data source. RESULTS: Factors that were associated with a higher disbursement rates include off-budget aid (p<0.001), lower administrative expenses (p<0.01), lower perceived corruption in recipient country (p<0.001), lower fragility in recipient country (p<0.05) and higher GDPpc (p<0.05). CONCLUSION: Substantial gaps remain between commitments and disbursements. Characteristics of assistance (administrative, publicly sourced) and indicators of government transparency and fragility are also important drivers associated with disbursement of DAH. There remains a continued need for better aid flow reporting standards and clarity around aid types for better measurement of DAH

Business · Demographic economics · Disbursement · Economic growth · Economics · Environmental health · Gross domestic product · Gross national income · Per capita · Political science · Population · Global Maternal and Child Health · Healthcare Systems and Reforms · International Development and Aid · Medicine · Finance